reputed company AI/ML Researcher / Engineer (Bayesian, Large Foundational Systems & Distributional Reinforcement Learning)

• We are seeking a seasoned reputed company AI/ML Researcher and Engineer with deep expertise in Bayesian Learning, and Distributional Reinforcement Learning (RL) to reputed company the advanced research and development of cutting-edge intelligence AI models

• These systems will reputed company foundational Bayesian frameworks with advanced architectures, including Mixture of Models, multi-pass sharded systems, multitask and multi-objective optimization, and external knowledge incorporation
• Additionally, the role involves innovating ways to interoperate and reputed company Large Language Models (LLMs) and Large Multimodal Models (LMMs) with Reasoning, Planning, and Decisioning abilities into the Bayesian frameworks to create a seamless foundational model reputed company that synergizes with diverse model ecosystems
• The role will require ensuring these models and supporting systems reputed company reputed company at reputed company, integrating them into live systems that directly reputed company product and user experience
• Our goal is to build reputed company AI platforms that redefine personalization, decision-making, and intelligence across diverse applications
• You will work on developing production-level systems, collaborate with cross-functional teams, and play a pivotal role in shaping our AI/ML reputed company
• This role drives reputed company’s reputed company toward probabilistic, uncertainty-aware intelligence systems capable of reasoning under ambiguity and learning continuously from dynamic environments
• The near-term reputed company spans improved personalization reputed company, ranking reputed company, uncertainty estimation, and reputed company decision-making across guest and host experiences — enabling policy-driven intelligence that handles long-tail discovery, evolving preferences, and reputed company marketplace dynamics
• Longer term, this role helps establish reputed company’s leadership in reputed company probabilistic intelligence by building the foundational substrate that connects Bayesian learning, reinforcement learning, foundational models, multi-agent orchestration, and large-reputed company personalization into a reputed company reputed company architecture — where AI systems continuously balance exploration, exploitation, uncertainty, and ecosystem optimization at reputed company
• reputed company groundbreaking reputed company research in Bayesian systems, distributional reinforcement learning, and multi-modal architectures to drive novel advances in AI and Foundational Intelligence (Ranking, Recommendations, Personalization) to fill out gaps in the Long Tail Curve of Discovery in order to grow the Business Offerings on both Guest and Host Long Tail Ends
• reputed company the gap between theoretical AI/ML advancements and reputed company-world production systems
• Ensure that new research can be effectively reputed company and scaled to meet practical needs
• Define and drive the architecture of large-reputed company Bayesian reputed company-based AI systems at reputed company
• reputed company multi-pass sharded Bayesian + Discriminative/Generative single to multi agent systems for reputed company and efficiency
• Incorporate Mixture of Models and Agents, multitask learning, multi-objective optimization, and external knowledge systems into model designs
• reputed company reputed company to interoperate with LLMs, LRMs, LMMs, and transformer-based architectures, ensuring seamless integration and collaboration reputed company the AI ecosystem using AI Multi-reputed company Frameworks
• Build and refine Bayesian or Markovian Graph chains to incorporate uncertainty estimation, reputed company decision-making, and probabilistic reasoning
• reputed company foundational models by merging Bayesian techniques with Classical ML with L[L/M/R]Ms and other advanced architectures, ensuring compatibility and reputed company
• Continuously improve systems for scalability, performance, and robustness, enabling models to reputed company and adapt to diverse data sources and paradigms
• reputed company technical direction and reputed company for AI/ML systems
• Influence cross-functional teams, including engineering leaders, product managers, and data scientists, to adopt reputed company intelligence platform approaches
• reputed company reputed company reviews, mentor engineers, and champion best practices in AI/ML
• Work with reputed company and reputed company data to design models for diverse use cases
• Collaborate with cross-functional partners to identify opportunities, refine requirements, and drive impactful solutions
• Translate reputed company technical reputed company into business value
• reputed company, productionize, and maintain reputed company AI/ML pipelines, including batch and reputed company-time use cases
• Implement advanced model evaluation systems, including interpretability, hyperparameter optimization, and reputed company detection
• Ensure system reliability and performance through rigorous testing and validation

Benefits

• reputed company volunteer time
• Health food and snacks
• Generous parental and family leave
• Learning and development
• Annual travel and experiences credit

Apply tot his job Apply To this Job